Newborn metabolomic profile mirrors that of mother in pregnancy

Perrone, Serafina; Laschi, Elisa; Bernardo, Giuseppe De; Giordano, Maurizio; Vanacore, F.; Tassini, Maria; Calderisi, Marco; Toni, Anna Laura; Buonocore, Giuseppe; Longini, Mariangela

doi:10.1016/j.mehy.2019.109543

Cited by 14 publications

(8 citation statements)

References 18 publications

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“…During pregnancy, and especially in the second trimester, there is a range of routes that confer metabolites to the AF pool including maternal diet, metabolite synthesis, and degradation pathways [ 31 ]. At the same time, the contribution of fetal metabolism to the AF fingerprint has not been extensively elucidated [ 68 , 69 ]. Moreover, the placenta is a key regulator of AF composition as it decodes signals received throughout gestation from both the mother and the fetus, thereby affecting nutrient transfer rates [ 70 , 71 ].…”

Section: Discussionmentioning

confidence: 99%

Maternal Dietary Protein Patterns and Neonatal Anthropometrics: A Prospective Study with Insights from NMR Metabolomics in Amniotic Fluid

Kyrkou,

Fotakis,

Dimitropoulou

et al. 2023

Metabolites

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This study aimed to characterize dietary protein patterns (DPPs) in a sample pool of 298 well-nourished pregnant women and explore potential associations between DPPs and neonatal anthropometrics. Maternal dietary data were collected using a validated food frequency questionnaire. Neonatal anthropometrics were abstracted from health booklets. A hierarchical cluster analysis identified three DPPs: “Dairy-focused”, “Med-fusion”, and “Traditional-inspired”. The “Dairy-focused” DPP exhibited the highest protein intake (p < 0.001), predominantly animal protein (p < 0.001), while the “Traditional-inspired” DPP presented higher plant protein (p < 0.001) and fiber intakes (p < 0.001), and, therefore, a reduced carbohydrate-to-fiber quotient (p < 0.001). The “Med-fusion” DPP had the lowest protein-to-fat ratio (p < 0.001). Infants of women following the “Dairy-focused” DPP had the highest birth height centiles (p = 0.007) and the lowest ponderal index (p = 0.003). The NMR-metabolomics approach was implemented on a subset of women that provided amniotic fluid (AF) specimens (n = 62) to elucidate distinct metabolic signatures associated with DPPs. PCA and OPLS-DA models verified the adherence to three DPPs, revealing that the levels of several amino acids (AAs) were the highest in “Dairy-focused”, reflecting its protein-rich nature. The “Traditional-inspired” DPP showed decreased AAs and glucose levels. This knowledge may contribute to optimizing maternal dietary recommendations. Further research is needed to validate these findings and better understand the relationships between maternal diet, AF metabolic signature, and neonatal anthropometrics.

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Section: Discussionmentioning

confidence: 99%

Maternal Dietary Protein Patterns and Neonatal Anthropometrics: A Prospective Study with Insights from NMR Metabolomics in Amniotic Fluid

Kyrkou,

Fotakis,

Dimitropoulou

et al. 2023

Metabolites

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“…Metabolomics has also been employed in DBS to identify potential early biomarkers of biliary atresia [ 44 ] and autism [ 45 ]; predict, at birth, the clinical phenotype of some diseases, such as cystic fibrosis [ 46 , 47 ] and very long-chain acyl-CoA dehydrogenase deficiency [ 48 ]; or retrospectively assess the early-life exposome [ 49 ]. It is noteworthy that the metabolomic status of neonates depends upon the metabolomic profile of their mothers at the end of pregnancy [ 50 ] and may be influenced by nutrition [ 51 ], gestational age, and age at the time of specimen collection [ 52 ].…”

Section: Proteomics/metabolomicsmentioning

confidence: 99%

Current State and Innovations in Newborn Screening: Continuing to Do Good and Avoid Harm

Marca

Carling

Moat

et al. 2023

IJNS

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In 1963, Robert Guthrie’s pioneering work developing a bacterial inhibition assay to measure phenylalanine in dried blood spots, provided the means for whole-population screening to detect phenylketonuria in the USA. In the following decades, NBS became firmly established as a part of public health in developed countries. Technological advances allowed for the addition of new disorders into routine programmes and thereby resulted in a paradigm shift. Today, technological advances in immunological methods, tandem mass spectrometry, PCR techniques, DNA sequencing for mutational variant analysis, ultra-high performance liquid chromatography (UPLC), iso-electric focusing, and digital microfluidics are employed in the NBS laboratory to detect more than 60 disorders. In this review, we will provide the current state of methodological advances that have been introduced into NBS. Particularly, ‘second-tier’ methods have significantly improved both the specificity and sensitivity of testing. We will also present how proteomic and metabolomic techniques can potentially improve screening strategies to reduce the number of false-positive results and improve the prediction of pathogenicity. Additionally, we discuss the application of complex, multiparameter statistical procedures that use large datasets and statistical algorithms to improve the predictive outcomes of tests. Future developments, utilizing genomic techniques, are also likely to play an increasingly important role, possibly combined with artificial intelligence (AI)-driven software. We will consider the balance required to harness the potential of these new advances whilst maintaining the benefits and reducing the risks for harm associated with all screening.

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“…The samples were then analyzed using the 1 H-NMR analysis technique. 1 H-NMR measurements were performed on a Bruker DRX600 MHz Avance Spectrometer with a selective inverse probe equipped with a Z-gradient coil, as previously described [21]. Briefly, spectra were acquired at a constant temperature of 298.0 ± 0.1 K using a 90 • pulse.…”

Section: H-nmrmentioning

confidence: 99%

Metabolomic Profile of Young Adults Born Preterm

et al. 2021

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Prematurity is a risk factor for the development of chronic adult diseases. Metabolomics can correlate the biochemical changes to a determined phenotype, obtaining real information about the state of health of a subject at that precise moment. Significative differences in the metabolomic profile of preterm newborns compared to those born at term have been already identified at birth. An observational case–control study was performed at the University Hospital of Siena. The aim was to evaluate and compare the metabolomic profiles of young adults born preterm to those born at term. Urinary samples were collected from 67 young adults (18–23 years old) born preterm (mean gestational age of 30 weeks, n = 49), and at term of pregnancy (mean gestational age of 38 weeks, n = 18). The urinary spectra of young adults born preterm was different from those born at term and resembled what was previously described at birth. The Random Forest algorithm gave the best classification (accuracy 82%) and indicated the following metabolites as responsible for the classification: citrate, CH2 creatinine, fumarate and hippurate. Urine spectra are promising tools for the early identification of neonates at risk of disease in adulthood and may provide insight into the pathogenesis and effects of fetal programming and infants’ outcomes.

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Newborn metabolomic profile mirrors that of mother in pregnancy

Cited by 14 publications

References 18 publications

Maternal Dietary Protein Patterns and Neonatal Anthropometrics: A Prospective Study with Insights from NMR Metabolomics in Amniotic Fluid

Maternal Dietary Protein Patterns and Neonatal Anthropometrics: A Prospective Study with Insights from NMR Metabolomics in Amniotic Fluid

Current State and Innovations in Newborn Screening: Continuing to Do Good and Avoid Harm

Metabolomic Profile of Young Adults Born Preterm

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